203 Natural Language Processing jobs in Malaysia

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AI Research Scientist (Medical Imaging)

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Cancer Research Malaysia 1 day ago Be among the first 25 applicants Join to apply for the

AI Research Scientist (Medical Imaging)

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Cancer Research Malaysia Direct message the job poster from Cancer Research Malaysia HR Management | Recruitment | Employee Relations | Training & Development | Onboarding Specialist

ABOUT THE ROLE We are seeking a highly motivated and creative

AI Research Scientist

to lead the development and improvement of AI models focused on

oral lesion detection

as part of the MeMoSA (Mobile Mouth Screening Anywhere) project. This role is pivotal in advancing our institution’s work in medical AI and setting the foundation for building a dedicated in-house AI research team in the long term. The candidate is expected to be able to work independently but will receive support from our established collaborators from Malaysia and the UK. SCOPE / PURPOSE OF JOB Short-Term Objectives (Year 1–2 ): Improve and optimize existing oral lesion detection AI models using the latest deep learning and computer vision techniques Develop novel , bias-aware, transparent , a nd explainable

AI approaches to improve clinical trust and applicability. Collaborate with dental and medical experts to ensure clinical relevance and data validity Conduct experiments, analyze model performance, and produce high-quality technical documentation and research papers. Manage data pre-processing pipelines, annotation quality checks, and model evaluation metrics. Long-Term Objectives: Support the recruitment and mentoring of junior researchers or AI engineers as we build an internal AI team. Propose and lead new AI research projects in healthcare beyond oral lesion detection (e.g., predictive analytics, other imaging modalities, NLP for healthcare records). Contribute to the design of a scalable AI research infrastructure within the institution. Qualifications PhD or Master’s degree in

Computer Science ,

Artificial Intelligence ,

Machine Learning ,

Biomedical Engineering , or related fields. Experience: Minimum 2–3 years of hands-on e xperience in deep learning, prefe rably in medica l imaging (experience with oral or dental images is a plus) Strong understa nding of model

f airness, bias m it igation, explainabil ity

(XAI), and ethical AI . Proficiency with deep learning frameworks

such as PyTorch or TensorFlow. Familiarity with tools and libraries for interpretability (e.g., SHAP, LIME, Grad-CAM). Track record of publications in reputable AI or medical imaging conferences/journals is highly desirable. Experience in leading small research or development projects is a plus. Preferred Qualities Creative and independent thinker who can bring new ideas to the table. Passion for responsible AI development and real-world healthcare applications. Strong communication skills and the ability to work cross-functionally with clinicians, researchers, and software teams. Why Join Us? Be at the forefront of AI innovation in healthcare with real clinical impact. Opportunity to shape the future of an in-house AI research unit. Work closely with a diverse team of clinicians, researchers, and institutional leaders. Access to rich clinical datasets and institutional support for high-impact research. Seniority level

Seniority level Associate Employment type

Employment type Contract Job function

Job function Science and Research Industries Research, Technology, Information and Media, and Research Services Referrals increase your chances of interviewing at Cancer Research Malaysia by 2x Get notified about new Artificial Intelligence Researcher jobs in

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Overview

Be part of a global luxury automotive group with cutting-edge digital solutions that shape the future of mobility!

Our client, a global leader in luxury automotive and digital innovation, is seeking an experienced Data Scientist to join their technology hub in Malaysia.

Qualifications & Experience

• Bachelor’s Degree in Computer Science, Engineering, Applied Mathematics, or related field.
• At least 5 years of relevant data experience.
• Background in Agile ways of working and product-oriented teams.
• Preferred: Certifications in programming, data architecture, or related fields are an advantage.

Key Skills

• Solid understanding of AI methods and their practical application.
• Strong foundation in mathematics, statistical analysis, and data visualization.
• Hands-on ability in building and configuring machine learning or semantic models.
• Experience creating automated pipelines for model development and quality assurance.
• Familiar with integrating AI and software solutions in a scalable manner.
• Knowledge of data, AI, and IT security compliance.
• Ability to clearly document and present technical results to both technical and non-technical stakeholders.

Seniorities & Employment

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Information Technology
• Industries: Professional Services

Apply now and let’s schedule a confidential chat!

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Hytech Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Data Scientist

Hytech Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

We are looking for an experienced and innovative Data Scientist to join our global business intelligence & strategy team to design and build intelligent applications using Large Language Models (LLMs) and machine learning models to monitor our platform, detect anomalous activity, perform root cause analysis, and generate automated, natural language insights for both our internal business leaders and our clients.

Key Responsibilities:

• Design and develop applications using LLMs to analyze business data to derive actionable insights.
• Build AI applications to solve business cases, such as detecting abnormalities in customer behavior, business performance and operational metrics.
• Implement AI-driven root cause analysis tools that identify underlying issues, such as algorithmic misbehavior, or system faults.
• Use LLMs to summarize complex insights in natural language, producing interpretable outputs for non-technical stakeholders.
• Integrate AI outputs into internal dashboards or alerting systems used by management teams.
• Collaborate closely with data engineers and business stakeholders to align AI solutions with real-world needs.
• Fine-tune and deploy open-source or proprietary LLMs (e.g., GPT, Claude, Mistral) for business-specific use cases.
• Contribute to the development of a scalable AI platform capable of supporting multiple real-time and batch inference use cases.

Qualifications:

Required:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• 3+ years of experience in AI/ML engineering, with proven work in NLP and LLM-based applications.
• Strong coding skills in Python, including experience with libraries like Transformers (Hugging Face), LangChain, PyTorch/TensorFlow.
• Experience building anomaly detection or real-time alerting systems.
• Familiarity with time-series data analysis and financial data structures.
• Ability to translate technical AI output into clear business insights.
• Strong communication skills, with fluency in Mandarin to communicate with stakeholders from China and Taiwan.

Preferred:

• Background in Fintech industries would be a plus
• Experience with LLM deployment in production (APIs, latency optimization, prompt engineering).
• Exposure to MLOps tools (e.g., MLflow, Docker, CI/CD pipelines for ML).

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting

Industries

• Desktop Computing
• Software Products and IT
• System Custom Software Development

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Overview

Add expected salary to your profile for insights

Develops and refines machine learning models to solve specific business problems (Model Training)

Conducts feature engineering to enhance model performance and represent data optimally

Performs hyperparameter tuning to optimize model performance

Designs and implements ML pipelines that sequence different steps for optimal results (e.g., model training, evaluation, data transformation)

Selects appropriate algorithms based on problem requirements, data characteristics, and performance criteria

Analyzes data to uncover trends, patterns, and insights

Considers and accounts for data drift over time to ensure models remain effective in production

Conducts prompt engineering to improve performance of models requiring natural language inputs

Ensures quality through model evaluation and rigorous testing of results

Estimates costs for ML-related tasks, including project offers and change requests

Collaborates with business stakeholders to deeply understand the business case behind the ML model and its expected outcomes

Requirements

1. Strong knowledge of machine learning algorithms, hyperparameter tuning, and model evaluation
2. Experience with prompt engineering and natural language processing (NLP) tasks
3. Proficiency in Python
4. Familiarity with ML libraries such as TensorFlow, Scikit-learn, and PyTorch
5. Knowledge of data analysis techniques, feature engineering, and data preparation
6. Understanding of ML pipelines and workflow automation
7. Ability to detect and address data drift in production environments
8. Strong problem-solving and analytical thinking skills
9. Experience working with stakeholders to understand and refine business cases
10. Familiarity with cost estimation and budget management for ML projects
11. Excellent communication skills to convey technical insights in business terms
12. Continuous learning mindset, staying updated with the latest in AI/ML technologies
13. Strong problem-solving and analytical thinking skills.
14. Experience working with stakeholders to understand and refine business cases.
15. Continuous learning mindset, staying updated with the latest in AI/ML technologies.
16. Core Libraries: Python 3.11+, pandas, NumPy, scikit-learn
17. Deep Learning: TensorFlow, Keras, PyTorch
18. Development & Deployment: Git, Docker
19. Data Visualization & Application: Streamlit, Matplotlib
20. For a more direct approach, kindly put in your application via our official career page: Senior Data Scientist Job Details | Apply now!

What's in it for YOU

Innovate Fearlessly: We fearlessly challenge the status quo. Innovation runs deep within our core, and we're continually seeking groundbreaking solutions. Your ideas matter, and we offer the platform for them to flourish.

Invest in Growth: We prioritize your professional development with diverse learning, mentorship, and resources nurturing your growth through ample training opportunities.

Work-Life Harmony: At our company, we prioritize work-life harmony, championing flexibility, and support to ensure your welfare. Your mental wellness is our priority. We're committed to fostering a healthy balance between work and personal life for a happier, healthier you.

Attractive Benefits: Our flexible benefits package is designed to cater to your individual needs, complemented by exclusive perks such as Birthday Leave, Family Care Leave, and sponsored meals.

Collaboration over Competition: Teamwork isn't just an idea here - it's our way of life.

Thriving on Diversity: Embracing unique viewpoints and backgrounds, we ensure Equity and Inclusivity are at the heart of our success.

Celebrate Success: From big wins to small victories, every achievement deserves its moment in the spotlight. From project milestones to personal goals and team triumphs, we're all about raising the flag high for success!

Wellness & Well-being are Fundamental: We view wellness as more than personal health - it's the foundation of our caring, connected community. This emphasis on well-being drives our culture of rapid exploration and learning, propelling us forward together.

Uniting through Fun: From annual company trips to quarterly team outings, we build trust and camaraderie by engaging in enjoyable activities together.

Giving Back: Rooted in our values, we actively engage in initiatives supporting meaningful causes that benefit society. Our commitment to Corporate Responsibility is the cornerstone of our journey toward excellence.

Join Arvato Systems Malaysia for a transformative career journey. Our commitment to fair opportunities means we value skills and performance above all else - everyone is welcome to build a brighter future together.

Data Protection Notice

In accordance with the Personal Data Protection Act (PDPA) 2010, the personal information you submit will be used solely for recruitment and selection purposes related to this vacancy. Your data will be retained until the successful candidate has been hired and officially onboarded. Thereafter, unless you have provided explicit consent for us to consider you for future opportunities, your data will no longer be actively retained in our recruitment system in line with our data protection practices.

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Senior Talent Acquisition at Wellous Sdn Bhd

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Key Activities

• Analyze large and complex datasets to uncover trends, patterns, and actionable insights.
• Conduct in-depth research and convert raw data into clear, useful intelligence for marketing and business teams.
• Apply statistical models and machine learning algorithms to forecast sales, customer behavior, and operational outcomes.
• Design and develop real-time dashboards and automated reports using Power BI, Tableau, or similar platforms.
• Support marketing efforts with insights into customer segmentation, campaign performance, and market trends.
• Visualize and present data findings in an intuitive and compelling format for cross-functional stakeholders.
• Collaborate with Sales, Marketing, IT, and Finance teams to align data strategies with business objectives.
• Design and execute A/B testing to evaluate campaign or pricing strategies.
• Stay updated on advancements in data science, artificial intelligence, and automation tools.

Qualification Required

• Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2–4 years of experience in data analytics, business intelligence, or a related role.
• Proficiency in data tools such as Power BI, Tableau, Python, R, or SQL.
• Strong understanding of machine learning, statistical analysis, and predictive modeling.
• Excellent communication and data storytelling skills.
• Ability to work independently and manage multiple priorities.

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Job Purpose

Develop analytical capabilities and data science algorithms that enable to do targeted marketing, optimization of processes and support other function areas of the bank. Primary focus will be in applying machine learning techniques, doing statistical analysis, and building high quality prediction and AI systems integrated with the bank’s products and functions.

Key Responsibilities

Strategy and Planning

• Support Big Data analytics for MY initiatives.
• Leverage state of the art algorithms to deliver value of big data to business.

Business and Performance and Management

• Exploratory data analysis and model development using state-of-the-art methods, keeping abreast with latest developments in machine learning and applying them to solve business problems
• Selecting features, building and optimizing classifiers using machine learning techniques
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Perform analysis and presenting results in a clear and concise manner
• Creating automated model automation to produce periodic output systems and constant tracking of its performance
• Building and integrating Large Language Model (LLMs) and LangChain into the business processes

Regulatory Compliance

• Ensures all Group Consumer operations are in compliance with Group, local and regional regulations

Qualifications

Bachelor's Degree or Professional Qualification in the relevant discipline (Financial/Engineering/Computer Science/Actuarial Science/Statistics)

Relevant Work Experience

Candidate must have at least 5-6 years of hands on experience in statistical modeling using machine learning and AI techniques

Key Competencies

Technical/Functional skills

• Demonstrated experience in applying and implementing machine learning techniques such as neural networks, SVM, recommender engines, deep learning algorithms (e.g., TensorFlow, PyTorch), etc.
• Some knowledge of NLP, computer vision, and other generative AI techniques (e.g., GPT, BERT, GANs) is encouraged
• Strong knowledge of common data science toolkits like tools like R / Python.
• Experience with MLOps tools and practices, including version control, CI/CD, containerization (e.g., Docker), and orchestration (e.g., Kubernetes).
• Familiar in SQL and visualization tool such as Excel and QlikView,
• Knowledge in Big Data Tools (e.g. Hive, Impala, Hadoop and Spark) is an added advantage.
• Hands-on experience utilizing cloud base data analytics offering and services is an added advantage

Personal skills

• Ability to manage AI/ML projects, including model development, testing, deployment, and monitoring.
• Strong presentation and influencing skills required to put forward solution/ model to solve business problems
• Active team player that support various solution/ model initiatives across the bank
• Builds strong culture of excellent service and high performance

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CONTEXT

Develop GenAI/AI/ML models to drive insights and support data-driven decision-making across various departments. Work collaboratively with cross-functional teams to analyze complex datasets and deliver actionable recommendations that enhance business strategies, drive user acquisition and retention, improve customer experience and usage stimulation for B2C, B2B and Bank user base.

SCOPE & RESPONSIBILITY

1. Develop analytics LLM, ML/AI models for Boost use-cases (B2C, B2B and Bank), such as agentic AI, Chatbot, recommendation engine, predictive model, life-time value model and segmentation.
2. Support Generative AI development and deployment projects by developing ML/AI models to complement various LLM for ChatGPT.
3. Develop, validate, and deploy predictive models that enhance decision-making processes across various business units.
4. Train, test, validate and deploy agentic AI & LLM Chatbot that improve work efficiency and enhance customer experience across various business units.
5. Stay abreast of industry trends, emerging technologies, and best practices in data science and analytics.
6. Conduct comprehensive data analyses using advanced statistical methods and machine learning algorithms to derive insights from structured and unstructured data.
7. Collaborate with cross-functional teams to identify key business challenges and formulate data-driven strategies to address them.
8. Design and implement robust data pipelines and workflows to facilitate the collection and processing of large-scale datasets.
9. Create data visualizations and reports to communicate findings and recommendations to technical and non-technical audiences.
10. Perform A/B testing and other experimental methodologies to assess the effectiveness of business initiatives.

KEY REQUIREMENTS

1. Bachelor or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field.
2. Proficiency in programming languages such as Python or R, JSON along with strong SQL skills for data manipulation and querying.
3. A minimum of 4 years of experience of data analysis, statistical modeling, machine learning, GenAI and Agentic AI applications.
4. Extensive experience with data visualization tools (e.g., QuickSight or similar) for presenting analytical results.
5. Knowledge in Telecommunications or Digital banking/Fintech and payment sector is preferred.
6. Passionate about creating value through scientific methods and data analysis.
7. Fluent in verbal and written communication with the ability to articulate data science/analytics in simple terms.
8. Familiar with high dimensionality data, dimensionality reduction, or feature extraction.
9. Able to explore, manipulate, and visualize data in big data to find new patterns and signals.
10. Proficient in statistical analysis, quantitative analytics, predictive analytics, multivariate testing, and optimization algorithms

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About Us

At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. As a tech company, we are agile, innovative, and always keep our finger on the pulse of change. This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.

IT is our passion, and we move toward a bright future, sometimes quickly, sometimes creatively but always together.

We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.

Our workplace is anywhere* with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.

Task Description:

• Advising the customer on the use of AI, capturing the requirement and translating the requirement into suitable mathematical models
• Data preparation, exploratory data analysis and statistical analysis.
• Conception of labelling processes
• Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures
• Conception and implementation of automated pipelines for model creation and quality assurance
• Conception and implementation of infrastructure and software to integrate AI into software products in a scalable way.
• Ensuring compliance with applicable rules in the areas of data, AI and IT security compliance
• Documentation and communication of the procedures and results in a target group-adequate form.

Responsibility and Scope for decision-making:

• Independent consulting of the customer to identify new areas of application of AI.
• Independent consulting of the customer on the use of AI, on capturing the requirement and translating the requirement into suitable mathematical models.
• Independent data preparation, exploratory data analysis and statistical analysis, conception of labeling processes.
• Independent selection, implementation and configuration of suitable (machine learning / semantic) models and procedures, also on the basis of scientific literature.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• To integrate the design and implementation of infrastructure and software and AI into software products in a scalable manner.
• Independent assurance of compliance with the relevant rules from the areas of data, AI and IT security.
• Networking and sharing of knowledge and experience within the company, within the Group and beyond.

Qualifications / Experience:

• Minimum of 5 years’ working experience in a related field is required.
• Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
• Experience with Agile methodologies
• Experience with Enterprise technologies
• Experience with Product Oriented Teams
• Programming or Data Architecture related certification

Specific knowledge/ Skill:

• Excellent communication skills
• Good customer service orientation
• Analytical, passionate and drives technology and product quality
• Result-oriented thinking and action
• Has a broad and deep understanding of AI methods and their applicability in day-to-day operations.
• Possesses broad and constantly expanded knowledge of mathematical and formal methods with their strengths and weaknesses.
• Possesses broad and constantly expanded knowledge methods of data preparation, exploratory data analysis, data visualizations and statistical analysis.
• Ability to implement and configure machine learning / semantic models close to the state of research.
• Ability to design and implement automated pipelines for model creation and quality assurance.
• Knowledge of the conception and implementation of infrastructure to integrate software and AI into software products in a scalable way.
• Knowledge of applicable rules from the areas of data, AI and IT security compliance.
• Ability to document and communicate the procedures and results in target group-adequate form.

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Key Responsibilities:
• Partner with Data Scientists and business partners to architect, drive design, implement diagnostic & predictive analytics solutions with Python, Power BI and/or Tableau.
• Developing and maintaining advanced analytics, dashboards, and other BI solutions.
• Build custom quantitative models by applying advanced statistical methods (e.g., causal and predictive modeling, forecasting, data mining, simulation, and/or optimization)
• Interpret results of quantitative models, identify trends and issues, and develop alternatives to support business objectives.
• Perform validation and testing of models to ensure adequacy and determine need for reformulation.
• Perform software validation and/or testing requirements and activities

Education and Experience:
• Bachelor’s Degree in in Computer Science, Engineering, Mathematics, Statistics or a related field Required
• 4 + years of experience in data science, software development, tool development, database design, analytics and dashboard creation, related work Required
• Experience working in a medical device and/or regulated industry Preferred
• Experience working in/for Supply Chain and/or Quality functions Preferred

Skills and Qualification:
• Extensive experience in developing, maintaining, and managing Python, Power BI and/or Tableau driven dashboards & analytics and working knowledge of administration/architecture.
• Good exposure to Data Warehousing system like Snowflake, Teradata, or Redshift.
• Experience in documenting data flows, business processes, power point presentations
• Solid knowledge and understanding with BI, reporting, data mining, or multi-data center applications

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